Flight Test Data Engineering & Analysis Liaison

Appone; Great Mills (MD); On-site; USD 80,000 - 150,000; Full time

Benefits offered by this job

Four Weeks of Paid Leave

Health Insurance, including Medical,  

Dental Insurance

401(k) Retirement Plan with Company  

Tuition Assistance

Life Insurance

Disability Insurance

Job summary

J.F. Taylor, Inc. seeks a Test & Evaluation Data Engineering/Analysis Liaison to bridge flight test engineering and data analysis teams in the Defense sector.

You’ll ensure data integrity, guide data collection, and translate findings into actionable insights. The role emphasizes collaboration, methodological data handling, and contributing to lessons learned for future programs. Ideal candidates bring engineering/CS/math background and at least two years in data engineering/analysis, with

Qualifications

• Bachelor's degree in Engineering, Computer Science, Mathematics, or a related field.
• Minimum 2 years of data engineering/analysis experience.
• Strong knowledge of data management principles and best practices.
• Excellent analytical and communication skills.

Responsibilities

• Coordinate data analysis requirements from Mission Systems Flight Test Engineers to Instrumentation and Data collection/reduction/analysis team members.
• Coordinate tool development status, data processing status, and analysis results from Data Team to Flight Test Engineering team.
• Assist engineers in defining, planning, and organizing data requirements.
• Assist Data Team in designing, developing, and modifying data reduction tools and processes.

Skills

Data analysis

Data management

Analytical

Communication

Education

Bachelor's degree in Engineering/CS/Math

Job description

J.F. Taylor, Inc. seeks a Test & Evaluation Data Engineering/Analysis Liaison to bridge flight test engineering and data analysis teams in the Defense sector.

You’ll ensure data integrity, guide data collection, and translate findings into actionable insights. The role emphasizes collaboration, methodological data handling, and contributing to lessons learned for future programs. Ideal candidates bring engineering/CS/math background and at least two years in data engineering/analysis, with